Trust Stamp Chief Science Officer Dr. Norman Poh joined Steve Darling from Proactive to announce that the company has received a notice of allowance for its Non-Provisional Patent Application No. 18/145,470, titled “Systems and Processes for Multifactor Authentication and Identification.”

The newly allowed patent covers proprietary techniques that leverage anonymized data from historic cyberattacks to help identify and prevent future attacks — marking a significant advancement in Trust Stamp’s mission to strengthen digital identity protection.

Poh explained that identity fraud and related scams cost U.S. consumers an estimated $47 billion in 2024, including $15.6 billion from account takeover fraud and $6.2 billion from new account fraud. Trust Stamp’s patented technology enables clients, including major financial institutions, to detect attack vectors in real time and integrate anonymized data from past breaches into machine learning algorithms that proactively flag suspicious activity.

The company emphasized that as cyberattacks grow in scale and sophistication — particularly those powered by Generative AI — the ability to adapt and refine defensive models at equal or greater speed is essential. Trust Stamp’s approach, built on privacy-preserving AI and multifactor authentication, provides organizations with a scalable, intelligent defense framework that evolves in step with emerging threats.

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